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Dr. Meilin Yu

Associate ProfessorMLYU

Department of Mechanical Engineering
University of Maryland, Baltimore County
1000 Hilltop Circle
Baltimore, MD 21250

Phone: (410) 455-3398
Office: ENGR219

Website: Computational Mechanics Lab


Ph.D., Aerospace Engineering, Iowa State University, 2012
B.E., Energy and Power Engineering, Beijing University of Aeronautics and Astronautics, China, 2007

Employment History

2020-present: Associate Professor, Mechanical Engineering, UMBC

2014-2020: Assistant Professor, Mechanical Engineering, UMBC

2012-2014: Post-doctoral Researcher, Department of Aerospace Engineering, The University of Kansas

2012: Post-doctoral Research Associate, Iowa State University

Honors and Awards

Maryland Offshore Wind Energy Research (MOWER) Challenge Grant, Co-Investigator, 2014
Research Excellence Award, Iowa State University, 2012
Alexander Lippisch Memorial Scholarship, Iowa State University, 2010

Research Interests

My group aims to develop state-of-the-art high performance computing tools capable of simulation at extreme scale, and thus to bring new possibilities to the analysis and design of complex systems arising from mechanical, aerospace, marine, biomedical, civil engineering, meteorology, and so on. Current engineering/science foci of my group are on renewable energy harvesting, flapping wing aero-hydrodynamics, fluid-structure interaction, numerical optimization, and nonhydrostatic mesoscale atmospheric modeling. The algorithm development efforts are focused on high-order accurate numerical methods, including discontinuous Galerkin (DG), flux reconstruction/correction procedure via reconstruction (FR/CPR), and spectral difference (SD) methods, shock capturing algorithms for high-order CFD methods, and efficient numerical algorithms for solving nonlinear dynamical systems.

My research group is also interested in validating the numerical and theoretical studies through experimental measurement. For example, we have used particle image velocimetry (PIV) to investigate wake vortex structures behind oscillating wings, and verified our numerical and theoretical studies in this area. We are passionate about using an integrated numerical and experimental approach to improve our ability to understand the natural world, and to advance engineering design for the enhancement of human welfare and environmental sustainability.

Classes Taught at UMBC

ENME645 Applied Computational Thermo/Fluid Dynamics
ENME320 Fluid Mechanics

Selected Publications

All publications are found here: